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NEW QUESTION: 1
Which of the following is NOT an objective of Service Operation?
A. To manage the technology used to deliver services
B. To deliver and support IT Services
C. To monitor the performance of technology and processes
D. Thorough testing, to ensure that services are designed to meet business needs
Answer: D
NEW QUESTION: 2
Which MapReduce daemon instantiates user code, and executes map and reduce tasks on a cluster running MapReduce v1 (MRv1)?
A. NameNode
B. ResourceManager
C. NodeManager
D. DataNode
E. TaskTracker
F. JobTracker
G. ApplicationMaster
Answer: E
Explanation:
A TaskTracker is a slave node daemon in the cluster that accepts tasks (Map,
Reduce and Shuffle operations) from a JobTracker. There is only One Task Tracker process run
on any hadoop slave node. Task Tracker runs on its own JVM process. Every TaskTracker is
configured with a set of slots, these indicate the number of tasks that it can accept. The
TaskTracker starts a separate JVM processes to do the actual work (called as Task Instance) this
is to ensure that process failure does not take down the task tracker. The TaskTracker monitors
these task instances, capturing the output and exit codes. When the Task instances finish,
successfully or not, the task tracker notifies the JobTracker. The TaskTrackers also send out
heartbeat messages to the JobTracker, usually every few minutes, to reassure the JobTracker that
it is still alive. These message also inform the JobTracker of the number of available slots, so the
JobTracker can stay up to date with where in the cluster work can be delegated.
Note: How many Daemon processes run on a Hadoop system?
Hadoop is comprised of five separate daemons. Each of these daemon run in its own JVM.
Following 3 Daemons run on Master
nodes NameNode - This daemon stores and maintains the metadata for HDFS.
Secondary NameNode - Performs housekeeping functions for the NameNode.
JobTracker - Manages MapReduce jobs, distributes individual tasks to machines running the Task
Tracker.
Following 2 Daemons run on each Slave nodes
DataNode - Stores actual HDFS data blocks.
TaskTracker - Responsible for instantiating and monitoring individual Map and Reduce tasks.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What is a
Task Tracker in Hadoop? How many instances of TaskTracker run on a Hadoop Cluster
NEW QUESTION: 3
A fast-growing company is planning an acquisition that will add significantly to their customer base and their data center workload. Environment with 1 Gb Ethernet and 8 Gb Fibre Channel networks in place. They are open to new technologies and are willing to reduce cost-effective over time.
Which infrastructure purchases should you include in your proposal?
A. Converged Network Switches and implementing FCoE
B. 16 Gb Fibre Channel switches and implementing FCIP
C. 10 Gb Ethernet switches and implementing NFS
D. 10 Gb Ethernet switches and implementing iSCSI
Answer: A
Explanation:
FCoE fabric topologies FCoE technology allows you to converge Ethernet and Fibre Channel technology, providing significant cable,adapter, and switch consolidation. All HP-supported Fibre Channel topologies are supported integrated withFCoE at the Fibre Channel fabric edge. HP also supports end-to-end FCoE solutionsfor the P63xx/P65xx EVA storage systems with the FCoE target interface and P6000 (formerly EVA) storageusing the MPX200 Multifunction Router. Fibre Channel over Ethernet is a protocol in which Fibre Channel frames can be sent over Ethernet networks.This allows Fibre Channel to use 10-GbE networks while preserving theFibre Channel protocol. Theconvergence of Ethernet and FC provides the same level of connectivity as each individualtechnology provides separately, but requires:
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